A TEXT MINING APPROACH TO CAPTURE USER EXPERIENCE FOR NEW PRODUCT DEVELOPMENT.

Insights into product design and development drive the strategies related to new products including price, demand, capacity, cost, and return strategies. To retrieve insights into human-product interactions, the user experience can be captured as the input of product design and development to enhance product quality and user satisfaction. However, it is critical to ascertain feedback on user experience to determine appropriate user preferences and needs. In this study, a text mining approach was developed to capture user experience in order to help product designers and developers to determine user purchase behavior and critical product features. The proposed text mining approach identifies key entities and expressions from full textual transcripts of user perceptions. Based on term frequency and emotional scales, this study provided the ordinary scale of categorical data. The emotional adjectives and functional terms of the data were analyzed to ascertain user experience and identify user segmentation. By extracting and associating key entities and expressions from user perceptions, we identified the features of wearable devices that influence user purchasing behavior. The results can assist designers to launch appropriate products and help developers to identify the key users that will enhance overall user satisfaction and company competitiveness. [ABSTRACT FROM AUTHOR]